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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhen Ji Shi, D.Y. Qi Li Wu, Q.H. |
| Copyright Year | 2005 |
| Description | Author affiliation: Fac. of Inf. Eng., Shenzhen Univ. (Zhen Ji; Shi, D.Y.; Qi Li; Wu, Q.H.) |
| Abstract | A multi-resolution morphological gradient (MMG) filtering technique is applied successfully into the transient fault locator. The performance of MMG will inevitably deteriorate when various disturbances are imposed on the transient signals. These disturbances can be considered as noise. In this paper, median filter is applied to fault location for noise reduction in the transient signals and to improve the performance of accurate fault location using MMG. The confidence analysis is introduced to discuss the reliabilities of fault location under different signal-noise-ratios in noisy environments. Since the accuracy of fault location relies on the accurate extraction of the maxima of MMG, a confidence level index (CLI) is defined based on the analysis of these maxima. A hypothesis testing is used to determine whether an assertion of maxima of time-tags is reasonable. By using the CLI, the reliability of fault location is able to be measured. The analysis of receiver operating characteristic (ROC) curves with respect to CLI has shown that the median filter can improve the discrimination of accurate and inaccurate locations and the performance of the MMG detection scheme has been improved therefore |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 330030 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780391144 |
| DOI | 10.1109/TDC.2005.1546807 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filtering hypothesis testing Noise reduction ROC fault location Fault location power transmission line Filters Utility programs Working environment noise noise reduction mathematical morphology median filter Performance analysis confidence level analysis Transient analysis Signal analysis Testing |
| Content Type | Text |
| Resource Type | Article |
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